基于非均质强弱程度评价GMS求参模块适用性
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摘要
GMS软件中MF2K PES Process和PEST模块都是参数估算程序,两模块在参数运算过程中交替调用、反复迭代,得到最优的参数值。对于精度要求高、水文地质条件复杂的地下水流模型,GMS反求参数模块的适用性需进行有效验证。以地下含水岩层的非均质性为唯一变量,采用高斯模拟法生成非均质程度不同的渗透系数场,建立给定水文地质参数的理想地下水流模型,进行模型识别,得到等效渗透系数。分析可得,GMS软件反求参数模块的计算精度与水文地质条件有一定的相关性,均质含水层参数估算结果与给定值基本吻合。而含水层非均质性越弱,估算结果精度越高,误差越小,反之计算结果误差越大,为水文地质参数的计算提供借鉴及依据。
The MF2 K PES Process and PEST modules in GMS software are parameter estimation procedures. The two modules are used alternately and iterated repeatedly in the process of parameter calculation to get the optimal parameter values. For the groundwater flow model with high precision and complicated hydrogeological conditions,the applicability of GMS inverse parameter module needs to be validated effectively. In this paper,the heterogeneity of underground aquifer is taken as the only variable,and the permeability coefficient field with different degree of heterogeneity is generated by Gaussian simulation method. The ideal groundwater flow model with given hydrogeological parameters is established,and the equivalent permeability coefficient is obtained by model identification. The results show that the calculation precision of GMS software reverse parameter module has certain correlation with hydrogeological conditions. The estimation results of hydrogeological parameters of homogeneous aquifers are basically consistent with the given values. For the aquifers with weaker heterogeneity,the higher the accuracy of the estimation results,the smaller the error,and vice versa,the greater the error,this method is not suitable. It provides reference and basis for the calculation of hydrogeological parameters in the future.
The MF2 K PES Process and PEST modules in GMS software are parameter estimation procedures. The two modules are used alternately and iterated repeatedly in the process of parameter calculation to get the optimal parameter values. For the groundwater flow model with high precision and complicated hydrogeological conditions,the applicability of GMS inverse parameter module needs to be validated effectively. In this paper,the heterogeneity of underground aquifer is taken as the only variable,and the permeability coefficient field with different degree of heterogeneity is generated by Gaussian simulation method. The ideal groundwater flow model with given hydrogeological parameters is established,and the equivalent permeability coefficient is obtained by model identification. The results show that the calculation precision of GMS software reverse parameter module has certain correlation with hydrogeological conditions. The estimation results of hydrogeological parameters of homogeneous aquifers are basically consistent with the given values. For the aquifers with weaker heterogeneity,the higher the accuracy of the estimation results,the smaller the error,and vice versa,the greater the error,this method is not suitable. It provides reference and basis for the calculation of hydrogeological parameters in the future.
引文
[1]魏林宏,束龙仓,郝振纯.地下水流数值模拟的研究现状和发展趋势[J].重庆大学学报:自然科学版,2000(S1):50-52.
[2]贺国平,张彤,赵月芬,等. GMS数值建模方法研究综述[J].地下水,2007(1):32-38.
[3]刘丽红,许光泉,赵宏海,等.基于地下水流数值模拟的反求参数方法研究[J].人民黄河,2012(9):66-69.
[4]王礼恒,董艳辉,李国敏,等.基于PEST的地下水数值模拟参数优化的应用[J].工程勘察,2014(3):38-42.
[5] Doherty J. PEST:Model-Independent Parameter Es-timation User Manual(5thed)[R]. Corinda(Austral-ia):Water mark. Computing,2005.
[6]张腾.地下水模型参数优化的并行实现[D].北京:中国地质大学(北京),2013.
[7]岳松梅,杨蕴,吴剑锋,等.基于不同地质统计方法的渗透系数场对污染物运移的影响[J].地下水,2014(4):10-14.
[8] Deutsch C V,Journel A G. GSLIB,Geostatistical Soft-ware Library and User's guide[M]. Oxford:Oxford U-niversity Press,1992.
[2]贺国平,张彤,赵月芬,等. GMS数值建模方法研究综述[J].地下水,2007(1):32-38.
[3]刘丽红,许光泉,赵宏海,等.基于地下水流数值模拟的反求参数方法研究[J].人民黄河,2012(9):66-69.
[4]王礼恒,董艳辉,李国敏,等.基于PEST的地下水数值模拟参数优化的应用[J].工程勘察,2014(3):38-42.
[5] Doherty J. PEST:Model-Independent Parameter Es-timation User Manual(5thed)[R]. Corinda(Austral-ia):Water mark. Computing,2005.
[6]张腾.地下水模型参数优化的并行实现[D].北京:中国地质大学(北京),2013.
[7]岳松梅,杨蕴,吴剑锋,等.基于不同地质统计方法的渗透系数场对污染物运移的影响[J].地下水,2014(4):10-14.
[8] Deutsch C V,Journel A G. GSLIB,Geostatistical Soft-ware Library and User's guide[M]. Oxford:Oxford U-niversity Press,1992.